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Manuel A. Diaz's Projects

libnpy icon libnpy

C++ library for reading and writing of numpy's .npy files

lid-driven-cavity_gpu icon lid-driven-cavity_gpu

Solves lid-driven cavity problem using finite difference method on GPU, with equivalent CPU version for comparison.

local-dg icon local-dg

3D Navier-Stokes Local Discontinuous Galerkin Solver

lorenz-da icon lorenz-da

The purpose of this project is to test different data assimilation (DA) algorithms, ensemble, variational and hybrid, on simple Lorenz models. This project is actively being worked on and is hosted on GitHub for educational purposes only. Please report bugs or suggestions for improvements.

matib icon matib

A simple immersed boundary method solver in matlab.

matlab-weno5 icon matlab-weno5

A matlab toolkit to calculate numerical differentiation using WENO5 scheme. Mainly for level set simulation.

matlab2cpp icon matlab2cpp

Example files I've been developing to get become more familiar in programming multiple GPUs.

meshpartitioning icon meshpartitioning

This repo contains hello world examples for using METIS & ParMETIS packages to paritition unstructured meshes

minidg icon minidg

A DG-FEM solver for the Acoustic equations

mixbench icon mixbench

A GPU benchmark tool for evaluating GPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP)

ml_cheatsheet icon ml_cheatsheet

A 5-pages only Machine Learning cheatsheet focusing on the most popular algorithms under the hood

muscl icon muscl

MUSCL (Monotonic Upstream-Centered Scheme for Conservation Laws) example schemes

nifty icon nifty

Numerical computing in Swift – for Linux and macOS

npyarray icon npyarray

A C++ header that provides capabilities for read/write .npy and .npz files (based on cnpy)

obbg icon obbg

a block/voxel-based game

opendrop icon opendrop

An open Apple AirDrop implementation written in Python

openlbmflow icon openlbmflow

A tiny but powerful open source Lattice Boltzmann solver

orderofaccuracy icon orderofaccuracy

Basic template to examine the order of accuracy (OOA) on numerical operators and/or solvers of PDEs.

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